DLP Security Specialist: Insider Threat Focus

AEP; Columbus (OH); Hybrid; USD 87,000 - 178,000; Full time

Job summary

AEP is seeking a Security Specialist (Senior to Staff) to strengthen the Insider Threat Program as a Data Loss Prevention (DLP) Analyst. The role blends real‑time monitoring, investigations, and proactive threat hunting to prevent data loss incidents.

You will triage alerts, review PII leakage, coordinate investigations with HR, Legal, Compliance, and Security, and develop robust DLP use cases to reduce false positives while protecting sensitive data.

Qualifications

• Ability to obtain and maintain a U.S. government security clearance.
• Excellent written and verbal communication skills with strong analytical ability.
• Experience handling sensitive information and investigations.
• Expertise with enterprise DLP tools across email, endpoint, cloud, and web environments.

Responsibilities

• Monitor and triage security alerts across multiple DLP platforms and determine investigations.
• Review alerts for data loss of PII, business‑critical data, and confidential information across sources like email, cloud, and endpoints.
• Coordinate DLP investigations with internal stakeholders and maintain case records.
• Design and tune data exfiltration detection use cases to improve accuracy and reduce false positives.

Skills

Security clearance

Communication skills

DLP tools

Investigation

Cross-functional collaboration

Education

Bachelor's degree in cybersecurity or related field

Tools

SIEM platforms

Endpoint detection solutions

DLP tools

Job description

AEP is seeking a Security Specialist (Senior to Staff) to strengthen the Insider Threat Program as a Data Loss Prevention (DLP) Analyst. The role blends real‑time monitoring, investigations, and proactive threat hunting to prevent data loss incidents.

You will triage alerts, review PII leakage, coordinate investigations with HR, Legal, Compliance, and Security, and develop robust DLP use cases to reduce false positives while protecting sensitive data.